IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v88y2024ics0301420723011297.html
   My bibliography  Save this article

Three-dimensional quantitative mineral prediction from convolutional neural network model in developing intelligent cleaning technology

Author

Listed:
  • Lin, Weiwen
  • Qin, Shan
  • Zhou, Xinzhu
  • Guan, Xin
  • Zeng, Yanzhao
  • Wang, Zeyu
  • Shen, Yaohan

Abstract

The aim of this study is to explore a three-dimensional (3D) quantitative mineral prediction method to address the issues of low accuracy and efficiency in mineral resource exploration. The experiment constructs a 3D mineral image prediction model based on intelligent clean technology, incorporating an attention convolutional neural network (CNN). This model first introduces the ShuffleNet V2 network, a lightweight and efficient CNN renowned for handling complex geological resource image data. Additionally, the model incorporates graph attention modules and channel attention modules to enhance the network's focus on crucial channel information, enabling better extraction of spatiotemporal features from 3D mineral resource samples. The results show that, compared to CNN algorithms, the accuracy of the proposed model in 3D mineral identification reaches 95.25%, a minimum accuracy improvement of 1.41%. Moreover, under induced fault geological types, this model achieves a Mean Intersection over Union (mIoU) value of 94.55%. The constructed model demonstrates high accuracy and precision in prediction performance and sustainability, providing strong support for the sustainable development and strategic direction of mineral resource exploration.

Suggested Citation

  • Lin, Weiwen & Qin, Shan & Zhou, Xinzhu & Guan, Xin & Zeng, Yanzhao & Wang, Zeyu & Shen, Yaohan, 2024. "Three-dimensional quantitative mineral prediction from convolutional neural network model in developing intelligent cleaning technology," Resources Policy, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723011297
    DOI: 10.1016/j.resourpol.2023.104418
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723011297
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2023.104418?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hongjun Ni & Zhiwei Shi & Stephen Karungaru & Shuaishuai Lv & Xiaoyuan Li & Xingxing Wang & Jiaqiao Zhang, 2023. "Classification of Typical Pests and Diseases of Rice Based on the ECA Attention Mechanism," Agriculture, MDPI, vol. 13(5), pages 1-15, May.
    2. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    3. Lidija Đurđevac Ignjatović & Vesna Krstić & Vlastimir Radonjanin & Violeta Jovanović & Mirjana Malešev & Dragan Ignjatović & Vanja Đurđevac, 2022. "Application of Cement Paste in Mining Works, Environmental Protection, and the Sustainable Development Goals in the Mining Industry," Sustainability, MDPI, vol. 14(13), pages 1-13, June.
    4. Chen, Fu & Tiwari, Sunil & Mohammed, Kamel Si & Huo, Weidong & Jamróz, Paweł, 2023. "Minerals resource rent responses to economic performance, greener energy, and environmental policy in China: Combination of ML and ANN outputs," Resources Policy, Elsevier, vol. 81(C).
    5. Chuanxu Cheng & Ashutosh Sharma, 2023. "RETRACTED ARTICLE: Improved CNN license plate image recognition based on shark odor optimization algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 490-490, February.
    6. Wang, Zeyu & Zhang, Shuting & Zhao, Yuanyuan & Chen, Chuan & Dong, Xiufang, 2023. "Risk prediction and credibility detection of network public opinion using blockchain technology," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    7. Olga Janikowska & Joanna Kulczycka, 2021. "Impact of minerals policy on sustainable development of mining sector – a comparative assessment of selected EU countries," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(2), pages 305-314, July.
    8. Ben Arab, Marwa & Rekik, Mouna & Krichen, Lotfi, 2023. "A priority-based seven-layer strategy for energy management cooperation in a smart city integrated green technology," Applied Energy, Elsevier, vol. 335(C).
    9. Chenyang Wu & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyu Duan & Jiawei Qi & Zhongshuai Cheng & Zengkai Pan, 2022. "Comprehensive Evaluation of the Eco-Geological Environment in the Concentrated Mining Area of Mineral Resources," Sustainability, MDPI, vol. 14(11), pages 1-19, June.
    10. Hu, Hui & Xiong, Shuaizhou & Wang, Zeyu & Wang, Zishuo & Zhou, Xiang, 2023. "Green financial regulation and shale gas resources management," Resources Policy, Elsevier, vol. 85(PB).
    11. Daniel M. Franks & Julia Keenan & Degol Hailu, 2023. "Mineral security essential to achieving the Sustainable Development Goals," Nature Sustainability, Nature, vol. 6(1), pages 21-27, January.
    12. Wang, Zeyu & Deng, Yue & Zhou, Shouan & Wu, Zhongbang, 2023. "Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms," Resources Policy, Elsevier, vol. 80(C).
    13. Varun Tripathi & Somnath Chattopadhyaya & Alok Kumar Mukhopadhyay & Shubham Sharma & Changhe Li & Gianpaolo Di Bona, 2022. "A Sustainable Methodology Using Lean and Smart Manufacturing for the Cleaner Production of Shop Floor Management in Industry 4.0," Mathematics, MDPI, vol. 10(3), pages 1-23, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Jingshen & Zhou, Xinzhu & Bai, Rong & Dong, Haoyang & Tang, Tingting & Wang, Zeyu & Yang, Ya & Huang, Feng, 2024. "Impact of environmental supervision reform on green innovation in mineral enterprises," Resources Policy, Elsevier, vol. 88(C).
    2. Wang, Huaxing & Li, Tianzi & Zhu, Junfan & Jian, Youting & Wang, Zeyu & Wang, Zengwen, 2023. "China's new environmental protection law: Implications for mineral resource policy, environmental precaution and green finance," Resources Policy, Elsevier, vol. 85(PB).
    3. Gao, Yajuan & Zhang, Congqing & Wang, Yilin & Wang, Shuaihao & Zou, Yunjin & Gao, Junhong & Wang, Zeyu, 2023. "Fiscal decentralization and rural resource utilization efficiency: Evidence from quasi-natural experiment in China," Resources Policy, Elsevier, vol. 87(PB).
    4. Gao, Shiya & Guan, Xin & Tang, Run & Zhu, Junfan & Wang, Zeyu & Xu, Wei, 2023. "Resource curse, economic efficiency and green recovery based on three-subject framework," Resources Policy, Elsevier, vol. 85(PB).
    5. Yang, Ya & Zhou, Mengru & Hou, Yawei & Tang, Run & Liu, Bo & Deng, Yue, 2023. "Examining the impacts of implicit economic policy on urban environmental pollution: Unveiling pathways for sustainable recovery," Resources Policy, Elsevier, vol. 85(PA).
    6. Jin, Ting & Liang, Feiyan & Dong, Xiaoqi & Cao, Xiaojuan, 2023. "Research on land resource management integrated with support vector machine —Based on the perspective of green innovation," Resources Policy, Elsevier, vol. 86(PB).
    7. Shuhui Yu & Xin Guan & Junfan Zhu & Zeyu Wang & Youting Jian & Weijia Wang & Ya Yang, 2023. "Artificial Intelligence and Urban Green Space Facilities Optimization Using the LSTM Model: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-14, June.
    8. Marat M. Khayrutdinov & Vladimir I. Golik & Alexander V. Aleksakhin & Ekaterina V. Trushina & Natalia V. Lazareva & Yulia V. Aleksakhina, 2022. "Proposal of an Algorithm for Choice of a Development System for Operational and Environmental Safety in Mining," Resources, MDPI, vol. 11(10), pages 1-16, September.
    9. Sun, Jingjing & Zhai, Chenchen & Dong, Xiaoqi & Li, Chengming & Wang, Zeyu & Li, Dandan & Sun, Yongping, 2023. "How does digital infrastructure break the resource curse of cities? Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 86(PA).
    10. Xiaoya Hu & Huimin Huang & Jun Ruan & Weijia Wang, 2023. "Pollution Reduction, Informatization and Sustainable Urban Development—Evidence from the Smart City Projects in China," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    11. Wang, Zongrun & Cao, Xuxin & Ren, Xiaohang & Taghizadeh-Hesary, Farhad, 2024. "Can digital transformation affect coal utilization efficiency in China? Evidence from spatial econometric analyses," Resources Policy, Elsevier, vol. 91(C).
    12. Yuwei Liu & Shan Qin & Jiamin Li & Ting Jin, 2023. "Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China," Sustainability, MDPI, vol. 15(23), pages 1-15, November.
    13. Run Tang & Xin Guan & Junfan Zhu & Bo Liu & Zeyu Wang & Fanbao Xie, 2023. "Evaluation of Sustainable City and Old-Age Security Policy Intervention in China," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    14. Yang Qianqiu & Song Baoli, 2024. "Research on the impact and mechanisms of lean management on the green development of traditional small and micro manufacturing enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4956-4979, September.
    15. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    16. Li, Chengming & Wang, Yilin & Zhou, Zhihan & Wang, Zeyu & Mardani, Abbas, 2023. "Digital finance and enterprise financing constraints: Structural characteristics and mechanism identification," Journal of Business Research, Elsevier, vol. 165(C).
    17. Chen, Liang & Guo, Yirong, 2023. "The drivers of sustainable development: Natural resources extraction and education for low-middle- and high-income countries," Resources Policy, Elsevier, vol. 86(PB).
    18. Li, Aimin & Zhou, Shuyu, 2024. "Role of mineral-based industrialization in promoting economic growth: Implications for achieving environmental sustainability through financial management," Resources Policy, Elsevier, vol. 92(C).
    19. Wei, Xuecheng & Hu, Weihua, 2023. "Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation," Resources Policy, Elsevier, vol. 85(PB).
    20. Chen, Fu & Zhang, Weiwei & Li, Fangfang & Sun, Yongtai & Yu, Huiyuan, 2024. "Does fintech positively moderate the impact of mineral resources on green growth? Role of economic policy uncertainty in OECD economies," Resources Policy, Elsevier, vol. 94(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723011297. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.